Evidence map›Paper›PMID 42295458›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2026

The EQ-5D-5L valuation study in Nigeria.

Abdulrasheed Hassan Yusuf, Bello Usman Ardo, Montarat Thavorncharoensap, Bram Roudijk, Fredrick Dermawan Purba, Zhihao Yang, Meixia Liao, Usa Chaikledkaew, Sitaporn Youngkong, Ammarin Thakkinstian and 4 more

Abstract read
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Abdulrasheed Hassan YusufMahidol University Health Technology Assessment (MUHTA) Graduate Program, Mahidol University, Bangkok, Thailand.
Bello Usman ArdoMahidol University Health Technology Assessment (MUHTA) Graduate Program, Mahidol University, Bangkok, Thailand.
Montarat ThavorncharoensapMahidol University Health Technology Assessment (MUHTA) Graduate Program, Mahidol University, Bangkok, Thailand. montarat.tha@mahidol.ac.th.ORCID https://orcid.org/0000-0002-8256-2167
Bram RoudijkEuroQol Research Foundation, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0001-5000-0875
Fredrick Dermawan PurbaFaculty of Psychology, Padjadjaran University, Bandung, Indonesia.ORCID https://orcid.org/0000-0002-7336-3043
Zhihao YangHealth Services Management Department, Guizhou Medical University, Guiyang, China.ORCID https://orcid.org/0000-0001-5468-0847
Meixia LiaoSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Usa ChaikledkaewMahidol University Health Technology Assessment (MUHTA) Graduate Program, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0001-9457-9823
Sitaporn YoungkongMahidol University Health Technology Assessment (MUHTA) Graduate Program, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-2448-3954
Ammarin ThakkinstianMahidol University Health Technology Assessment (MUHTA) Graduate Program, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0001-9991-386X
Yakubu Adole Agada-AmadeNational Health Insurance Authority (NHIA), Abuja, FCT, Nigeria.
Taiwo Gboluwaga AmoleDepartment of Community Medicine and Africa Center of Excellence for Population Health and Policy, Aminu Kano Teaching Hospital/Bayero University Kano, Kano, Kano State, Nigeria.
Mohammed Nasir SamboDepartment of Community Medicine, Ahmadu Bello University Teaching Hospital, Zaria, Kaduna State, Nigeria.
Kelechi OhiriNational Health Insurance Authority (NHIA), Abuja, FCT, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeA country-specific EQ-5D-5L value set ensures that health utility estimates reflect national preferences, enabling contextually appropriate health technology assessment (HTA) to inform efficient resource allocation decisions. This study aimed to develop the first EQ-5D-5L value set for Nigeria.

methodsAdult Nigerians were recruited from 12 states using multi-stage stratified quota sampling based on age, sex, and education. Face-to-face interviews were conducted through Computer-Assisted Personal Interviews using the EQ-PVT protocol. The interview comprises 2 main parts: composite time-trade-off (cTTO) and discrete choice experiment (DCE) tasks. The cTTO data were modelled using random intercept, Tobit, linear (heteroskedasticity-corrected), and Tobit (heteroskedasticity-corrected) models. DCE data were analyzed using Mixed Logit Model (MLM). Hybrid models combining the cTTO and DCE data were also estimated.

resultsA total of 1,200 interviews were conducted. The Hybrid Tobit model with intercept, corrected for heteroscedasticity, and excluded flagged responses was considered the preferred model. The utility values of the best (11,111), 2nd best (21,111), worst (55,555), and 2nd worst (54,555) health states are 1, 0.963, - 0.733, and - 0.653, respectively. The most important dimension is Pain/Discomfort followed by Anxiety/Depression, Mobility, Usual Activity, and Self-care, respectively.

conclusionThis study provides the first EQ-5D-5L value set for Nigeria, derived from a representative adult population. This value set provides a strong foundation for HTA, supporting evidence-informed policy decisions and advancing progress towards Universal Health Coverage (UHC) in Nigeria and the wider West African region.

Indexed as

Health StatusQuality of LifeAdolescentAdultAgedFemaleHumansInterviews as TopicMaleMiddle AgedNigeriaSurveys and QuestionnairesTechnology Assessment, BiomedicalYoung AdultEQ-5DHealth technology assessmentNigeriaValuation studyValue set

Identifiers

PMID42295458
PMCPMC13269515

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.